Archivo Institucional - UNIR UNIVERSIDAD: Envíos recientes
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Robust Federated Learning With Contrastive Learning and Meta-Learning
(UNIR, 26/03/2026)Federated learning is regarded as an effective approach to addressing data privacy issues in the era of artificial intelligence. Still, it faces the challenges of unbalanced data distribution and client vulnerability to ... -
PRESTO: A Recommender of Musical Collaborations Based on Heterogeneous Graph Neural Networks
(UNIR, 26/02/2026)The music industry is now more complex and competitive than ever before. In recent years, the search for collaborations with other artists has become a common strategy for musicians to maintain their presence in the sector. ... -
Recommender Systems: Learning Collaborative Filtering Similarity Measures Using Siamese Networks
(UNIR, 28/02/2026)Improving current similarity measures in the collaborative filtering Recommender Systems is relevant, since it contributes to different applications such as to get better big data representations of users and items, to ...
